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Entry Level Risk Adjustment Coder Jobs in Kent, WA

Socket.dev

Applied Scientist, Internal Audit

Seattle, WA · On-site

$136 - $184/hr

... Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data ... Experience implementing algorithms using both toolkits and self-developed code * PhD in Engineering ...

City of Tacoma

Power Systems Engineer

Tacoma, WA · On-site +1

$113K - $159K/yr

This is an entry-level to mid-level Engineering position that has growth potential into the ... This position will assist in the Dam Safety Workgroups mission of supporting public safety, risk ...

Menzies Aviation

Passenger Service Agent

Seatac, WA · On-site

$20.74/hr

This individual must adhere to Menzies Aviation uniform guidelines and codes of conduct. What you ... In all areas of our business there is a potential risk to the health, safety and welfare to ...

Menzies Aviation

Passenger Service Agent

Seatac, WA · On-site

$20.74/hr

This individual must adhere to Menzies Aviation uniform guidelines and codes of conduct. What you ... In all areas of our business there is a potential risk to the health, safety and welfare to ...

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Entry Level Risk Adjustment Coder information

See Kent, WA salary details

$17

$31

$49

How much do entry level risk adjustment coder jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level risk adjustment coder in Kent, WA is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $21.44 and $39.09 per hour, depending on experience, location, and employer.

What is an entry level risk adjustment coder?

An Entry Level Risk Adjustment Coder reviews medical records to identify and assign accurate diagnosis codes for risk adjustment purposes. Their work ensures healthcare organizations receive appropriate reimbursement based on patient health conditions. They typically use ICD-10-CM codes and follow guidelines from CMS and other regulatory bodies. This role requires strong attention to detail, knowledge of medical terminology, and an understanding of risk adjustment models. Entry-level coders may work in various healthcare settings, including insurance companies, hospitals, or coding firms.

What does an entry level risk adjustment coder do?

A typical day for an entry level risk adjustment coder involves reviewing patient medical records to identify and assign appropriate diagnostic codes based on clinical documentation. You’ll use specialized coding software and electronic health record systems to ensure accuracy and compliance with federal guidelines. Collaboration with senior coders, team leads, and occasionally clinicians is common when clarification or additional documentation is needed. Most entry level coders work in an office or remote environment and spend much of their day analyzing records, updating databases, and participating in training sessions to stay current on coding updates.

What are the key skills and qualifications needed to thrive as an entry level risk adjustment coder?

To thrive as an Entry Level Risk Adjustment Coder, you need a strong understanding of medical terminology, anatomy, and ICD-10-CM coding guidelines, typically supported by completion of a coding training program or relevant coursework. Familiarity with coding software, electronic medical records (EMR) systems, and coding certification such as CPC or CRC is often preferred. Attention to detail, analytical thinking, and effective communication are essential soft skills for this role. These skills and qualifications ensure the accurate coding of diagnoses for risk adjustment, compliance with regulations, and contribute to optimal healthcare reimbursement.

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Entry Level Risk Adjustment Coder jobs near you

Applied Scientist, Internal Audit

Socket.dev

Seattle, WA • On-site

$136 - $184/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading agentic AI technologies to derive insight at scale - all in a challenging, fast-paced environment? We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit’s Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.

Key job responsibilities
  • Work with audit teams, product managers, engineers, and more senior scientists to deliver machine learning and generative AI products that carry real degrees of ambiguity, scale, and complexity.
  • Design, build, and evaluate agentic AI systems — multi-agent workflows, retrieval-augmented generation, and tool-using agents — that automate and augment audit work, applying rigorous LLM-as-judge and human-aligned evaluation to measure and improve output quality.
  • Apply statistical analysis and classical machine learning using SQL and scripting languages like Python/R over large datasets to develop insights and recommendations that strengthen internal audit.
  • Architect secure, scalable solutions on AWS machine learning and generative AI services (e.g., Bedrock, AgentCore, SageMaker), owning the full lifecycle from prototype through production deployment, monitoring, and iterative improvement, working closely with auditors to understand their business needs.
  • Build and maintain the team's production and experimentation infrastructure, including deployment pipelines, observability and tracing, and evaluation harnesses.
  • Advance applied research by exploring emerging techniques and sharing findings through internal and external publications, talks, and conferences.
A day in the life

As an Applied Scientist, you will help shape and execute a product roadmap that connects risk to the business, building AI products — increasingly centered on large language models and agentic systems — that make audit work more effective and efficient. Your work spans the full arc of applied science: framing ambiguous problems, prototyping with the latest generative AI techniques, building rigorous evaluations, and deploying solutions in production. The ideal candidate pairs a strong foundation in data science and machine learning with a builder's instinct for production architecture, thrives on ambiguity, and stays close to a fast-moving research frontier.

About the team

Internal Audit’s mission is to help our businesses improve controllership, operational efficiency, and customer experience.

Basic Qualifications
  • Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Experience researching about machine learning, deep learning, NLP, computer vision, data science
  • Experience building applications with large language models (e.g., prompt engineering, retrieval-augmented generation, or agentic/tool-using workflows).
Preferred Qualifications
  • Experience implementing algorithms using both toolkits and self-developed code
  • PhD in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
  • Experience in solving business problems through machine learning, data mining and statistical algorithms
  • Experience implementing a cloud-based technology solution, or experience architecting/operating solutions built on AWS
  • Experience designing and running evaluation frameworks for generative AI (e.g., LLM-as-judge, human-alignment measurement, benchmarking output quality).
  • A track record of applied-research output: publications, conference talks, or patents.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

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